AI-Powered Interview Application Tracking System (ATS): An AI-Powered Resume Analysis and Job Matching System

AI-Powered Interview Application Tracking System (ATS) is an AI-powered web application designed to bridge the gap between job seekers and the competitive modern hiring landscape. The system leverages large language models (LLMs) — specifically Claude AI — to provide Applicant Tracking System (ATS) compatibility scoring, targeted improvement feedback, and intelligent job role matching based solely on a candidate's resume content. Users can upload their resume in PDF format, optionally supply a job description, and receive a detailed analytical report highlighting strengths, weaknesses, and actionable recommendations. A complementary Job Role Matcher feature identifies the top five most suitable career roles for a candidate without requiring any job description input. This paper presents the motivation, system architecture, key features, technical implementation, potential applications, and future scope of the AI-Powered Interview Application Tracking System (ATS) platform.

Keywords: Resume Analysis, ATS Score, Large Language Models, Job Matching, Claude AI, NLP, Career Intelligence, Web Application.